Data Science Manager, Demand Forecasting

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Wild Thinkers Welcome

Thrasio is a next-generation consumer goods company reimagining how the world’s most-loved products become accessible to everyone. We acquire quality brands and use world-class expertise and data science to make existing products better or create new ones to meet customer needs.

We’ve got huge goals, and every Thrasher plays an integral part in getting us there. That’s why we only bring on people who think positively. Who look out for the team. Who tell their egos to take a hike while they get the job done right.

From the moment you become a Thrasher, we give you the freedom you need to take big swings and push what’s possible to get us there. And if you fail, it’s cool—we know you’ll grow spectacularly. What matters is that you’re helping impact millions of people around the world who use our products everyday. 

Because with every new spatula or pillow brand we grow, with every kitchen scale we develop, our goal is to provide people everywhere with what they need to make the most of every moment - ensuring that what gets delivered to their door delivers.

The Role

As a Data Science Manager on the Demand Forecasting team, you will own a demand forecasting system at the center of inventory, promotions, pricing, and marketing decision-making across Thrasio’s extensive portfolio of omnichannel products. Partnering closely with experts in causal inference, pricing, optimization, and machine learning, you’ll help drive world-class automated decision-making through accurate and timely demand forecasts, a fundamental part of Thrasio’s long-term success and continued market leadership.

Responsibilities

• Leveraging machine learning, statistical, and econometric time series techniques alongside hybrids of these to develop accurate, granular demand forecasts within a hierarchical product catalog context.
• Partnering closely with the pricing, promotions, supply chain, and marketing science teams to integrate the causal impact of their business levers into your forecasts, creating a single source of truth for forward planning for the business.
• Developing distributions around your forecast via either parameter estimation or non-parametric bootstrapping techniques to power automated robust optimization systems.
• Collaborating with cross-functional partners such as engineering, product management, and brand managers to build interfaces to your models, allowing for informed, tracked overrides of forecasts where business context is missing. 
• Driving strategic initiatives across the broader org as a leader at Thrasio. 
• Owning team development cycles, managing risk, and bringing stakeholders along for the ride

What You Bring To The Party

• Masters or Ph.D. in a quantitative subject (i.e. computer science, economics, operations research, statistics, etc.) or a related field such as Industrial Engineering, Statistics, Mathematics, Computer Science, etc. 
• 5+ years (Masters) or 3+ years (Ph.D.) of practical experience working with demand forecasting systems (ideally in e-commerce). 
• Expertise in some of statistical/econometric time series modeling (ARIMA, Exponential Smoothing/ETS, GLMs/GAMs, Dynamic Factor Models, etc.), machine learning (XGBoost/LightGBM, RNNs, Transformers, etc.), or hybrid time series techniques (ES-RNN, N-BEATS, TFT).
• Proficiency in Python or R, SQL, Git
• Nice To Have, But Not Required
• Experience in supply chain optimization, pricing, causal inference (to ease collaboration with partner teams).
• Familiarity with Databricks, Snowflake, Spark (or other forms of distributed computing).